Versatility and stability optimization of flow-focusing droplet generators <i>via</i> quality metric-driven design automation
David McIntyre, Ali Lashkaripour, Diana Arguijo, Polly M. Fordyce, Douglas Densmore
Abstract
and validated experimentally using machine learning and rapid prototyping. These metrics were integrated into a design automation workflow, DAFD 2.0, which provides users with droplet generators of a desired performance that are versatile or flow stable. Versatile droplet generators with stable operating points accelerate the development of sophisticated devices by facilitating integration of other microfluidic components and improving the accuracy of design automation tools.
Topics & Concepts
AutomationMicrofluidicsWorkflowRapid prototypingMetric (unit)Stability (learning theory)Computer scienceQuality (philosophy)Interface (matter)EngineeringProcess engineeringSystems engineeringControl engineeringNanotechnologyMechanical engineeringMaterials scienceMaximum bubble pressure methodBubbleEpistemologyPhilosophyOperations managementDatabaseMachine learningParallel computingInnovative Microfluidic and Catalytic Techniques InnovationElectrowetting and Microfluidic TechnologiesData Stream Mining Techniques